OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 7 million. The library is used extensively in companies, research groups and by governmental bodies. ..

References in zbMATH (referenced in 61 articles )

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  1. Curtis T. Rueden, Johannes Schindelin, Mark C. Hiner, Barry E. DeZonia, Alison E. Walter, Kevin W. Eliceiri: ImageJ2: ImageJ for the next generation of scientific image data (2017) arXiv
  2. Drouyer, Sébastien; Beucher, Serge; Bilodeau, Michel; Moreaud, Maxime; Sorbier, Loïc: Sparse stereo disparity map densification using hierarchical image segmentation (2017)
  3. Ramirez-Amaro, Karinne; Beetz, Michael; Cheng, Gordon: Transferring skills to humanoid robots by extracting semantic representations from observations of human activities (2017)
  4. Sikos, Leslie F.: Description logics in multimedia reasoning (2017)
  5. Ahmad Hosney Awad Eid: Optimized Automatic Code Generation for Geometric Algebra Based Algorithms with Ray Tracing Application (2016) arXiv
  6. Alexander G. Anderson, Cory P. Berg, Daniel P. Mossing, Bruno A. Olshausen: DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies (2016) arXiv
  7. P^arvu, Ovidiu; Gilbert, David: Implementation of linear minimum area enclosing triangle algorithm. Application note (2016)
  8. Žbontar, Jure; Lecun, Yann: Stereo matching by training a convolutional neural network to compare image patches (2016)
  9. Gallego, Guillermo; Yezzi, Anthony: A compact formula for the derivative of a 3-D rotation in exponential coordinates (2015)
  10. Goodfellow, Ian J.; Erhan, Dumitru; Luc Carrier, Pierre; Courville, Aaron; Mirza, Mehdi; Hamner, Ben; Cukierski, Will; Tang, Yichuan; Thaler, David; Lee, Dong-Hyun; Zhou, Yingbo; Ramaiah, Chetan; Feng, Fangxiang; Li, Ruifan; Wang, Xiaojie; Athanasakis, Dimitris; Shawe-Taylor, John; Milakov, Maxim; Park, John; Ionescu, Radu; Popescu, Marius; Grozea, Cristian; Bergstra, James; Xie, Jingjing; Romaszko, Lukasz; Xu, Bing; Chuang, Zhang; Bengio, Yoshua: Challenges in representation learning: A report on three machine learning contests (2015) ioport
  11. Kryvonos, Iu.G.; Krak, Iu.V.; Barmak, O.V.; Ternov, A.S.; Kuznetsov, V.O.: Information technology for the analysis of mimic expressions of human emotional states (2015) ioport
  12. Song, Dan; Wang, Dongming; Chen, Xiaoyu: Discovering geometric theorems from scanned and photographed images of diagrams (2015)
  13. Drevelle, Vincent; Nicola, Jeremy: VIBes: a visualizer for intervals and boxes (2014) ioport
  14. Gaidon, Adrien; Harchaoui, Zaid; Schmid, Cordelia: Activity representation with motion hierarchies (2014) ioport
  15. Gascueña, José Manuel; Castillo, José Carlos; Navarro, Elena; Fernández-Caballero, Antonio: Engineering the development of systems for multisensory monitoring and activity interpretation (2014)
  16. Karpov, A.A.: An automatic multimodal speech recognition system with audio and video information (2014) ioport
  17. Morshidi, Malik; Tjahjadi, Tardi: Gravity optimised particle filter for hand tracking (2014) ioport
  18. Ronda, José I.; Valdés, Antonio; Gallego, Guillermo: Autocalibration with the minimum number of cameras with known pixel shape (2014)
  19. Zagoris, Konstantinos; Pratikakis, Ioannis; Antonacopoulos, Apostolos; Gatos, Basilis; Papamarkos, Nikos: Distinction between handwritten and machine-printed text based on the bag of visual words model (2014) ioport
  20. Bucur, Laurentiu; Florea, Adina; Chera, Catalin: A KBRL inference metaheuristic with applications (2013)

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